Chainlink Labs15.02.26
AI SCORE 8.5

Data Risk Operations Analyst - Remote

$120K–$150K/year

About the Role

We are looking for a Data Risk Operations Analyst to join our team at Chainlink Labs. This remote position offers you the chance to work in a dynamic environment where you will play a crucial role in measuring, managing, and mitigating risks associated with our data products. As a Data Risk Operations Analyst, you will have the opportunity to make a significant impact on our operations and contribute to the evolving landscape of decentralized finance (DeFi).

What You'll Do

  • Proactively monitor and mitigate risks across Chainlink’s portfolio of data products.
  • Drive initiatives to understand and respond to changes in the rapidly evolving crypto ecosystem that affect our feeds.
  • Triage alerts that indicate data quality or risk issues, and improve the quality of those alerts.
  • Debug issues based on contextual knowledge of data providers, node operators, and Chainlink’s data infrastructure.
  • Write and run Python scripts to perform data pulls, exploratory data analysis, and charting.
  • Develop new processes and tools to manage new risks.

Requirements

  • 5+ years of experience in a data-driven organization.
  • Good foundational knowledge of SQL, JSON, Python (Pandas), and REST APIs.
  • Ability to work in a fast-paced environment with dynamic priority evolution.
  • Interest in the blockchain ecosystem and decentralized finance.
  • Strong respect for security requirements and implications in a blockchain environment.
  • Excellent verbal and written communication skills.
  • Stable and high-bandwidth internet connection.

Nice to Have

  • Experience with DBT/Airflow or similar tools.
  • Understanding of on-chain data and experience analyzing it.
  • Familiarity with Solidity and trading experience.
  • Experience in financial risk measurement and implementing AI automations.

What We Offer

  • Competitive salary ranging from $120,000 to $150,000 per year.
  • Fully remote work environment with flexible hours.
  • Opportunities for professional growth and development.
  • Access to cutting-edge technologies and tools.
  • A collaborative and inclusive team culture.
  • Equal opportunity employer committed to diversity and inclusion.
Why This Job8.5 of 10

This Data Risk Operations Analyst position at Chainlink Labs offers a unique opportunity to work remotely in a dynamic environment. With a competitive salary and a focus on professional growth, this role is ideal for experienced data analysts interested in the blockchain space.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in SQL and Python, with hands-on experience in data manipulation libraries like Pandas to analyze and visualize complex datasets, ensuring data integrity and risk assessment.

Demonstrates strong analytical skills and attention to detail while working independently in a remote setting, effectively managing time and prioritizing tasks to meet project deadlines.

Brings a proactive mindset towards learning and adapting to new technologies such as dbt and Airflow, with a focus on optimizing data workflows and enhancing operational efficiency.

Learning Resources

SQL for Data Sciencecourse

Career Path

Data Risk Operations Analyst(Now)Data Risk Manager(1-2 years)Director of Data Operations(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
10.5%
AI Adoption
38%
Investment in Data Solutions
+25%
Labour Demand for Data Analysts
+15%
Avg Salary for Data Risk Operations Analyst
$120K

Skills & Requirements

Required
SQLPythonPandas
Growing in Demand
Data Visualization (Tableau, Power BI)Machine Learning (Scikit-learn, TensorFlow)Cloud Data Warehousing (Snowflake, Google BigQuery)
Declining
Excel VBATraditional ETL Tools (Informatica, DataStage)

Domain Trends

Increased Focus on Data Privacy
With regulations like GDPR and CCPA, organizations are investing heavily in data risk management, leading to a 30% increase in demand for data risk analysts.
Rise of Automated Data Operations
Automation tools like dbt and Airflow are becoming essential, with 60% of companies adopting these tools to streamline data workflows.
Shift Towards Cloud-Based Data Solutions
Over 50% of enterprises are migrating to cloud data platforms, creating a surge in demand for skills related to cloud-based SQL databases.

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